Monthly data on COVID-19 deaths (the dependent variable, Y, in thousands) are used to estimate a linear trend model. The explanatory variable (T) is measured in months; in Mar-2020, X=0, in April-2020 X=1, etc. The following linear regression is estimated: Y hat = 21.5 + 1.3T

Q1 Determine the fitted linear trend value (in thousands) for Y in March 2020 (No decimal points)

Q2 Determine the fitted linear trend value (in thousands) for Y in December 2020 (No decimal points)

Q3 Use these estimates to forecast hospitalisations (in thousands) in December 2021 (No decimal points)